The Role
You will be working within an innovative energy technology company that builds intelligent AI-driven solutions with the aim of improving energy efficiency, grid performance, and operational reliability. They are looking for a Machine Learning Engineer to develop and deploy scalable ML solutions for real-world energy and infrastructure challenges.
Have you got the right qualifications and skills for this job Find out below, and hit apply to be considered.
What You’ll Be Doing
* Develop and deploy machine learning models for energy-focused applications such as load forecasting, predictive maintenance, energy optimization, smart grid analytics, anomaly detection, and consumption forecasting
* Create scalable ML infrastructure and pipelines for training, evaluation, monitoring, and real-time model serving across energy and industrial platforms
* Design data preprocessing and feature engineering workflows for complex datasets including smart meter, IoT, sensor, geospatial, and time-series data
* Help build intelligent monitoring and optimization systems leveraging technologies such as connected infrastructure, edge computing, renewable energy systems, and live sensor networks
* Contribute to data-driven solutions that improve operational efficiency, optimize energy usage, reduce costs, and support the transition toward sustainable energy systems
What They’re Looking For
* 2–6+ years of experience in Machine Learning Engineering or similar AI-focused roles
* Strong proficiency in Python
* Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
* Track record of building, deploying, and maintaining ML systems in production
* Experience working with energy, utilities, industrial, IoT, mobility, or time-series datasets is considered a strong plus
* Understanding of data engineering practices including ETL/ELT pipelines, streaming systems, and large-scale data processing
* Experience with cloud infrastructure such as AWS, Azure, or GCP
* Interest in applying AI to energy systems, smart infrastructure, renewable technologies, or operational optimization challenges
What’s on xphnsxz Offer
* Hybrid working model
* Opportunity to contribute to cutting-edge energy technology solutions with tangible real-world impact
* Collaborative environment with a strong emphasis on innovation, experimentation, and applied AI
* Competitive salary package up to €6,000/month depending on experience
* Company car or flexible mobility budget
* 13+ additional ADV leave days
* Clear career progression opportunities toward senior and leadership roles
* Mission-driven culture focused on building technology that supports the future of energy and sustainability
If this opportunity excites you, apply today or send your CV and a short cover letter to